Mark Rowland

Identifiers

• name variant Mark Rowland 0.60 · backfill

Papers (12)

1. Using Reward Uncertainty to Induce Diverse Behaviour in Reinforcement Learning cs.LG · 2026 · author #10
2. Meta-learning of Sequential Strategies cs.LG · 2019 · author #3
3. Orthogonal Estimation of Wasserstein Distances stat.ML · 2019 · author #1
4. Statistics and Samples in Distributional Reinforcement Learning stat.ML · 2019 · author #1
5. Antithetic and Monte Carlo kernel estimators for partial rankings stat.ML · 2018 · author #2
6. Gaussian Process Behaviour in Wide Deep Neural Networks stat.ML · 2018 · author #2
7. Structured Evolution with Compact Architectures for Scalable Policy Optimization cs.LG · 2018 · author #2
8. An Analysis of Categorical Distributional Reinforcement Learning stat.ML · 2018 · author #1
9. Distributional Reinforcement Learning with Quantile Regression cs.AI · 2017 · author #2
10. The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings stat.ML · 2017 · author #2
11. Magnetic Hamiltonian Monte Carlo stat.ML · 2016 · author #2
12. Black-box $\alpha$-divergence Minimization stat.ML · 2015 · author #3

Mentions

• 1511.03243 #3 · backfill · confidence 0.70 Mark Rowland
• 2606.03962 #10 · arxiv_oai · confidence 0.70 Mark Rowland

Frequent Coauthors

• Adrian Weller 3 shared papers
• Krzysztof Choromanski 3 shared papers
• Marc G. Bellemare 3 shared papers
• R\'emi Munos 3 shared papers
• Richard E. Turner 3 shared papers
• Will Dabney 3 shared papers
• Zoubin Ghahramani 3 shared papers
• Jiri Hron 2 shared papers
• Yee Whye Teh 2 shared papers
• Alexander G. de G. Matthews 1 shared papers
• Alex Pritzel 1 shared papers
• Andr\'as Gy\"orgy 1 shared papers
• Andr\'e Barreto 1 shared papers
• Ankit Anand 1 shared papers
• Anthony GX-Chen 1 shared papers
• Arthur Gretton 1 shared papers
• Daniel Hern\'andez-Lobato 1 shared papers
• David Smalling 1 shared papers
• Doina Precup 1 shared papers
• Eser Ayg\"un 1 shared papers